Further Research on Feature Selection and Classification Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
ADHOC: a Tool for Performing Effective Feature Selection
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Biomarker discovery for toxicity
Neurocomputing
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Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomarkers for disease diagnosis and assessing drug efficiency. In this paper, we present an approach using a genetic algorithm for a feature subset selection problem that can be used in selecting the near optimum set of genes for classification of cancer data. In substantial improvement over existing methods, we classified cancer data with high accuracy with less features.